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Predictive performance increased with multi-rather than single-cohort training data both in CoxNet (A) and survival gradient boosting (SGB) (B). On the pooled dataset, SBG achieved a greater overall c-index than CoxNet (C). In terms of number required features to achieve maximum predictive performance, SBG required 11 features and CoxNet 6 features (D).
